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Short Trade on MOODENG

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Short Trade on MOODENG 16 Oct 2025 at 02:50:30

Take profit at 0.1175 (1.26 %) and Stop Loss at 0.1197 (0.59 %)

Short Trade on MOODENG

The 16 Oct 2025 at 02:50:30

With 10580.9276 MOODENG at 0.119$ per unit.

Position size of 1258.813 $

Take profit at 0.1175 (1.26 %) and Stop Loss at 0.1197 (0.59 %)

That's a 2.14 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 9.19
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.711054

15m : -0.010565

1H : -0.060001

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0005040515856
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.118098
  4. ema21 : 0.119216
  5. ema50 : 0.1202
  6. ema100 : 0.118771
  7. price_ema9_diff : 0.00737703
  8. ema9_ema21_diff : -0.00937465
  9. ema21_ema50_diff : -0.00818729
  10. price_ema100_diff : 0.00166903
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.240021
  14. ema_slope_21 : -0.195817
  15. ema_slope_50 : -0.0965964
  16. ema_slope_100 : -0.0159945
  17. rsi : 0.474288
  18. adx : 0.332791
  19. kc_percentage : 0.481532
  20. kc_width_percentage : 0.0755626
  21. volume_ema_diff : -0.27829
  22. volume_ema1 : 626712.55848863
  23. volume_ema2 : 868371.94358361
  24. chop : 71.7454
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.117898
  28. ema21 : 0.117797
  29. ema50 : 0.118469
  30. ema100 : 0.119637
  31. price_ema9_diff : 0.00909115
  32. ema9_ema21_diff : 0.000856642
  33. ema21_ema50_diff : -0.00567125
  34. price_ema100_diff : -0.00557778
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0169344
  38. ema_slope_21 : -0.0121784
  39. ema_slope_50 : -0.0359062
  40. ema_slope_100 : -0.0381167
  41. rsi : 0.555493
  42. adx : 0.189516
  43. kc_percentage : 0.81618
  44. kc_width_percentage : 0.0314145
  45. volume_ema_diff : -0.403445
  46. volume_ema1 : 102883.27959835
  47. volume_ema2 : 172462.37550798
  48. chop : 64.19
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.118348
  52. ema21 : 0.117896
  53. ema50 : 0.117708
  54. ema100 : 0.117876
  55. price_ema9_diff : 0.0052544
  56. ema9_ema21_diff : 0.00383438
  57. ema21_ema50_diff : 0.00159241
  58. price_ema100_diff : 0.00927836
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0832796
  62. ema_slope_21 : 0.045384
  63. ema_slope_50 : 0.0158837
  64. ema_slope_100 : 0.00287571
  65. rsi : 0.671898
  66. adx : 0.195937
  67. kc_percentage : 1.04217
  68. kc_width_percentage : 0.0163163
  69. volume_ema_diff : -0.383858
  70. volume_ema1 : 32329.034736354
  71. volume_ema2 : 52470.130448667
  72. chop : 38.6326
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111146
  77. 5m_price_ema100_diff: 
    0.00216378
  78. 5m_price: 
    111387
  79. 5m_correlation_with_coin: 
    0.711054
  80. btc_indicators
  81. 15m_ema100: 
    111350
  82. 15m_price_ema100_diff: 
    0.000333964
  83. 15m_price: 
    111387
  84. 15m_correlation_with_coin: 
    -0.010565
  85. btc_indicators
  86. 1H_ema100: 
    112101
  87. 1H_price_ema100_diff: 
    -0.00636948
  88. 1H_price: 
    111387
  89. 1H_correlation_with_coin: 
    -0.060001
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-13 07:00:00
                    [1] => 0.11602
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-13 17:00:00
                    [1] => 0.12849
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-14 02:00:00
                    [1] => 0.11296
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-14 12:00:00
                    [1] => 0.12587
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-14 21:00:00
                    [1] => 0.12061
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.1267
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-15 09:00:00
                    [1] => 0.11744
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.11631
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 01:00:00
                    [1] => 0.11629
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 02:00:00
                    [1] => 0.11932
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.11733154542407
            [ms_dist_from_last_low_pct] => 2.4851663943589
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.6055550778227
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-15 09:30:00
                    [1] => 0.12388
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 09:45:00
                    [1] => 0.11744
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 13:00:00
                    [1] => 0.11849
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-15 14:45:00
                    [1] => 0.12199
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 16:30:00
                    [1] => 0.11631
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 20:45:00
                    [1] => 0.11683
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-15 22:30:00
                    [1] => 0.11667
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-15 23:15:00
                    [1] => 0.11894
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 01:45:00
                    [1] => 0.11629
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 02:45:00
                    [1] => 0.11932
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.11733154542407
            [ms_dist_from_last_low_pct] => 2.4851663943589
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.6055550778227
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-15 22:05:00
                    [1] => 0.1184
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 22:40:00
                    [1] => 0.11667
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 23:25:00
                    [1] => 0.11894
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 23:55:00
                    [1] => 0.11696
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 00:15:00
                    [1] => 0.11805
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 00:50:00
                    [1] => 0.11775
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 01:00:00
                    [1] => 0.11647
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 01:35:00
                    [1] => 0.11805
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 01:50:00
                    [1] => 0.11629
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 02:50:00
                    [1] => 0.11932
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.11733154542407
            [ms_dist_from_last_low_pct] => 2.4851663943589
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 2.6055550778227
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
2.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
2.61%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
0.32%
TP to Pivot Distance
0.0012
1.03%
DateTime Price Type
2025-10-15 22:05:00 0.1184 ↑ High
2025-10-15 22:40:00 0.11667 ↓ Low
2025-10-15 23:25:00 0.11894 ↑ High
2025-10-15 23:55:00 0.11696 ↓ Low
2025-10-16 00:15:00 0.11805 ↑ High
2025-10-16 00:50:00 0.11775 ↑ High
2025-10-16 01:00:00 0.11647 ↓ Low
2025-10-16 01:35:00 0.11805 ↑ High
2025-10-16 01:50:00 0.11629 ↓ Low
2025-10-16 02:50:00 0.11932 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
2.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.61%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0042
3.49%
TP to Pivot Distance
0.0012
1.03%
DateTime Price Type
2025-10-15 09:30:00 0.12388 ↑ High
2025-10-15 09:45:00 0.11744 ↓ Low
2025-10-15 13:00:00 0.11849 ↓ Low
2025-10-15 14:45:00 0.12199 ↑ High
2025-10-15 16:30:00 0.11631 ↓ Low
2025-10-15 20:45:00 0.11683 ↓ Low
2025-10-15 22:30:00 0.11667 ↓ Low
2025-10-15 23:15:00 0.11894 ↑ High
2025-10-16 01:45:00 0.11629 ↓ Low
2025-10-16 02:45:00 0.11932 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
2.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.61%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0088
7.34%
TP to Pivot Distance
0.0045
3.86%
DateTime Price Type
2025-10-13 07:00:00 0.11602 ↓ Low
2025-10-13 17:00:00 0.12849 ↑ High
2025-10-14 02:00:00 0.11296 ↓ Low
2025-10-14 12:00:00 0.12587 ↑ High
2025-10-14 21:00:00 0.12061 ↓ Low
2025-10-15 04:00:00 0.1267 ↑ High
2025-10-15 09:00:00 0.11744 ↓ Low
2025-10-15 16:00:00 0.11631 ↓ Low
2025-10-16 01:00:00 0.11629 ↓ Low
2025-10-16 02:00:00 0.11932 ↑ High

📌 Time Data

Start at Closed at Duration
16 Oct 2025
02:50:30		 16 Oct 2025
03:15:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.119 0.1197 0.1175 2.14 0.04998
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.119
  • Stop Loss: 0.1197
  • Take Profit: 0.1175

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1197 - 0.119 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.119 - 0.1175 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00070000000000001 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
1258.813 100 10580.9276 12.59
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.119 = 1360

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1197

Avec un position size USD de 1360$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1360
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
1.26 % 15.87 $
SL % Target SL $ Target
0.59 % 7.41 $
PNL PNL %
15.87 $ 1.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1933 % 32.86 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1176
            [stop_loss] => 0.1197
            [rr_ratio] => 2
            [closed_at] => 2025-10-16 03:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.11725
            [stop_loss] => 0.1197
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-16 03:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1169
            [stop_loss] => 0.1197
            [rr_ratio] => 3
            [closed_at] => 2025-10-16 03:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11655
            [stop_loss] => 0.1197
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-16 04:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1162
            [stop_loss] => 0.1197
            [rr_ratio] => 4
            [closed_at] => 2025-10-16 04:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.11585
            [stop_loss] => 0.1197
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1155
            [stop_loss] => 0.1197
            [rr_ratio] => 5
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.11515
            [stop_loss] => 0.1197
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1148
            [stop_loss] => 0.1197
            [rr_ratio] => 6
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.11445
            [stop_loss] => 0.1197
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1141
            [stop_loss] => 0.1197
            [rr_ratio] => 7
            [closed_at] => 2025-10-16 05:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.00023000000000001
            [rr_ratio] => 12.61
            [high] => 0.11923000
            [low] => 0.11610000
            [mfe_pct] => 2.44
            [mae_pct] => 0.19
            [mfe_mae_ratio] => 12.61
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T02:50:30-04:00
            [end_at] => 2025-10-16T04:50:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00565
            [max_drawdown] => 0.00095000000000001
            [rr_ratio] => 5.95
            [high] => 0.11995000
            [low] => 0.11335000
            [mfe_pct] => 4.75
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 5.95
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T02:50:30-04:00
            [end_at] => 2025-10-16T09:50:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11932000
            [high_after] => 0.11995000
            [low_before] => 0.11629000
            [low_after] => 0.11335000
            [is_new_high] => 
            [is_new_low] => 1
        )

)